JP7121691B2 - Estimation device, estimation method, and program - Google Patents

Description

The present invention relates to an estimating device, an estimating method, and a program.

2. Description of the Related Art In recent years, there has been known a technique of collecting information about a destination (POI: Point of Interest) used by a passenger based on vehicle parking information. For example, there is known a device that detects a parking position and parking time of a vehicle and compares it with information stored in a database to estimate facilities visited by passengers (see, for example, Patent Document 1). In addition, there is known a device that estimates a place where many vehicles park and stop as a parking lot by collecting a large amount of probe data (vehicle location information, speed information, etc.) provided by vehicles (for example, patent Reference 2).

JP 2015-21847 A JP 2012-202750 A

In the conventional technology described above, when estimating the location of a facility visited by a passenger or a parking lot, it is necessary to obtain vehicle location information (latitude and longitude information) using a GPS (Global Positioning System). However, positional information using latitude and longitude information from GPS has system errors, and there have been cases where problems arise due to the accuracy of positional information.

For example, when two facilities with parking lots (facility A and facility B) are located adjacent to each other, even though the occupant actually parked in the parking lot of facility A and visited facility A, , the parking position measured by GPS is determined to be the parking lot of the facility B, and it may be presumed that the user has visited the facility B. In relation to this, in a service that provides crew members with various suggestions (recommendations) based on accumulated information of facilities that have visited histories, the quality of the recommendations may deteriorate. These days, there is a demand for technology that accurately acquires the behavior of a target person from the perspective of personal profiles and big data. In addition, based on the fact that position information obtained by GPS has errors, there is a known method of correcting position using information such as vehicle acceleration and tire rotation speed. When the position information is transmitted to an external server or the like, the communication capacity increases and the processing load on the vehicle and the external server increases.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an estimating apparatus, an estimating method, and a program capable of improving the accuracy of estimating destinations visited by vehicle occupants. one.

An estimating device, an estimating method, and a program according to the present invention employ the following configurations.
(1) An estimating device according to an aspect of the present invention includes an acquisition unit that sequentially acquires vehicle information including coordinate information of a vehicle; a determination unit that determines whether or not the vehicle has stopped for a predetermined period of time, the coordinate information at the time of the vehicle stop, and a movement history of the vehicle indicated by the vehicle information when the determination unit determines that the vehicle has stopped for a predetermined period of time; and an estimating unit for estimating a visit destination of the vehicle occupant based on the information.

(2) According to another aspect of the present invention, there is provided an estimation device according to claim 1, wherein the movement history information indicates that the vehicle has entered an area associated with a visiting destination. , the destination is estimated to be the destination visited by the occupant of the vehicle.

Aspect (3) is the estimation device according to aspect (1) or (2) above, wherein the movement history information includes a plurality of pieces of coordinate information.

Aspect (4) is the estimating device according to any one of aspects (1) to (3) above, wherein the estimating unit determines whether the occupant of the vehicle has visited a first visit destination and a second visit destination that are adjacent to each other. The estimating unit estimates the destination, and if the movement history information indicates that the vehicle has passed through the entrance of the first visiting destination, the estimating unit estimates that the first visiting destination is the destination visited by the occupant of the vehicle. It is assumed that there is

Aspect (5) is the estimation device according to aspect (4), wherein the movement history information indicates that the vehicle has passed through the entrance of the first visited destination, and and estimating that the first visited destination is visited by an occupant of the vehicle if the stop position of the vehicle indicated by the coordinate information is included in an area associated with the second visited destination. is.

Aspect (6) is the estimating device according to aspect (4) or (5) above, wherein the estimating unit, based on the movement history information, determines the second destination after the vehicle has passed in front of the entrance of the second destination. It is shown that the vehicle has entered the area associated with the first visit through the entrance of one visit, and the stop position of the vehicle indicated by the coordinate information is associated with the second visit. If it is included in the defined area, the first destination is presumed to be the destination visited by the crew member.

Aspect (7) is the estimating device according to any one of aspects (1) to (3) above, wherein the estimating unit determines the number of visits of the vehicle occupant from adjacent first and second visiting destinations. estimating a destination, wherein the movement history information indicates that the vehicle has entered an area associated with the first visit, and the vehicle stops indicated by the coordinate information; If the location falls within the region associated with the second visit, then the vehicle occupant's visit is presumed to be the first visit.

Aspect (8) is the estimating device according to aspect (7) above, wherein the estimating unit determines, based on the movement history information, that after the vehicle passes in front of the entrance of the second visiting destination, When it is indicated that the associated area has been set, and the stop position of the vehicle indicated by the coordinate information is included in the area associated with the second visiting destination, the first visiting destination is It is presumed that it is the place visited by the passenger of the vehicle.

Aspect (9) is the estimating device according to any one of aspects (1) to (8) above, wherein the estimating unit stores occupant information including the estimated visited place of the occupant of the vehicle in a storage device. It further comprises an information providing unit that stores information and provides information to the passenger based on the passenger information stored in the storage device.

(10) In another aspect of the estimation method of the present invention, a computer sequentially acquires vehicle information including vehicle coordinate information, and determines whether or not the vehicle has stopped for a predetermined time based on the acquired vehicle information. is determined, and if it is determined that the vehicle has stopped for a predetermined time, based on the coordinate information at the time of the vehicle stop and the movement history information of the vehicle indicated by the vehicle information, the occupant of the vehicle This is for estimating the visited destination.

(11) A program according to another aspect of the present invention causes a computer to sequentially acquire vehicle information including coordinate information of the vehicle, and determines whether the vehicle has stopped for a predetermined time based on the acquired vehicle information. When it is determined that the vehicle has stopped for a predetermined period of time, a visit by an occupant of the vehicle based on the coordinate information at the time the vehicle was stopped and the movement history information of the vehicle indicated by the vehicle information. It is something that makes you estimate the future.

According to (1) to (11), it is possible to improve the accuracy of estimating the destination visited by the vehicle occupant. Even if the accuracy of the acquired position information of the vehicle is poor and, for example, it is determined that the vehicle is parked on the road, the parking place is estimated based on whether or not the vehicle passes through a specific area or point, It is possible to accurately estimate the destination visited by the crew. Also, even if there are adjacent visited destinations, it is possible to accurately estimate which visited destination the vehicle occupant has visited. Furthermore, it is possible to correct the position information regarding the parking position of the vehicle only with the information based on the positioning result by GPS or the like. Therefore, the amount of data to be processed can be reduced. In particular, it is possible to reduce the amount of information transmitted from the vehicle to the estimating device, reduce the communication capacity, and reduce the amount of processing (data processing load) in the estimating device.
According to (2), (7), and (8), it is possible to further improve the accuracy of estimating a destination visited by a vehicle occupant based on whether or not the vehicle has entered an area associated with the visited destination.
According to (4), (5), and (6), it is possible to further improve the accuracy of estimating the destination visited by the occupant of the vehicle based on whether or not the vehicle has entered the entrance of the destination.
According to (9), it is possible to provide information such as recommendations that are more suitable for the occupant in consideration of the occupant's taste.

1 is a configuration diagram of a vehicle system 1 including an estimating device 100 of an embodiment; FIG. It is a figure which shows an example of the movement history information D1 of embodiment. It is a figure which shows an example of the passenger|crew information D3 of embodiment. 4 is a flowchart showing an example of the flow of processing of the estimation device 100 of the embodiment; It is a figure which shows an example of the parking position detected based on the vehicle position contained in the movement history information D1 of embodiment. 4 is a diagram showing an example of a movement route determined based on vehicle positions included in movement history information D1 of the embodiment; FIG. FIG. 9 is a diagram showing another example of a travel route determined based on vehicle positions included in travel history information D1 of the embodiment; FIG. 9 is a diagram showing another example of a travel route determined based on vehicle positions included in travel history information D1 of the embodiment; FIG. 9 is a diagram showing another example of a travel route determined based on vehicle positions included in travel history information D1 of the embodiment; It is a figure which shows the modification of the estimation apparatus 100 of embodiment. It is a figure which shows an example of the hardware constitutions of the estimation apparatus 100 of embodiment.

Embodiments of an estimation device, an estimation method, and a program according to the present invention will be described below with reference to the drawings. The estimation device of the present embodiment estimates the destination (POI) visited by the vehicle occupant based on the information on the parking position of the vehicle and the information on the moving route of the vehicle. The estimation device of this embodiment can accurately estimate the destination visited by the occupant even when the accuracy of the parking position measured by the positioning device is low.

(embodiment)
[overall structure]
FIG. 1 is a configuration diagram of a vehicle system 1 including an estimating device 100 of the embodiment. The vehicle system 1 includes, for example, an estimating device 100 and at least one vehicle 200 . Estimation device 100 and vehicle 200 can communicate with each other via network NW. The network NW includes the Internet, WAN (Wide Area Network), LAN (Local Area Network), public lines, provider devices, leased lines, wireless base stations, and the like.

[Estimation device]
The estimating device 100 estimates the destination visited by the vehicle occupant based on the information regarding the parking position of the vehicle and the information regarding the moving route of the vehicle. Destinations include arbitrary facilities and places, such as restaurants, stores, stations, parks, sports facilities, and sightseeing spots. Estimation device 100 includes acquisition unit 101 , management unit 103 , determination unit 105 , estimation unit 107 , and storage unit 109 , for example. The acquisition unit 101 acquires probe data (vehicle information) from the vehicle 200 via the network NW. The probe data is continuously transmitted by the vehicle 200 at predetermined intervals (for example, at intervals of 10 seconds or less, more preferably at intervals of 1 second or less).

The probe data includes, for example, vehicle position information (eg, latitude and longitude information, coordinate information) measured by a positioning device such as GPS, ignition switch ON/OFF information, speed information, door opening/closing information, and the like. An occupant identification ID that identifies an occupant of the vehicle 200 (or a vehicle identification ID that identifies the vehicle 200) is associated with the probe data. Acquisition unit 101 acquires a set of probe data and an occupant identification ID from vehicle 200 .

The management unit 103 manages the movement history of the vehicle 200 using the vehicle position information included in the probe data continuously transmitted by the vehicle 200 at predetermined intervals and acquired by the acquisition unit 101 . The management unit 103 causes the storage unit 109 to store movement history information D1 in which the acquired position information, the measurement date and time of the position information, and the passenger identification ID are associated with each other. FIG. 2 is a diagram showing an example of the movement history information D1. As shown in FIG. 2, the movement history information D1 includes information in which the measurement date and time and the vehicle position indicated by the position information are associated with each passenger identification ID. Movement history information D1 includes a plurality of pieces of coordinate information.

The determination unit 105 determines whether or not the vehicle 200 has parked (whether or not the vehicle has been stopped for a predetermined time) based on the movement history information D1 stored in the storage unit 109 . For example, when the vehicle position in the movement history information D1 has not changed for a predetermined time, that is, when the vehicle 200 has been stopped for a predetermined time, the determination unit 105 determines that the vehicle 200 has parked. Note that the determination unit 105 may determine that the vehicle 200 has parked when the “ignition switch ON/OFF information” included in the probe data transmitted by the vehicle 200 indicates OFF. Further, when the speed value indicated by the "speed information" included in the probe data transmitted by the vehicle 200 indicates "0" for a predetermined time, the determination unit 105 determines that the vehicle 200 has parked. good too. Further, the determination unit 105 may determine that the vehicle 200 has parked when the “information regarding door opening/closing” included in the probe data transmitted by the vehicle 200 indicates that the door is open. In addition, the determination unit 105 may determine parking based on information such as the unlocking of the door of the vehicle 200 and the shift position of the locking transmission from the outside of the vehicle.

When the determining unit 105 determines that the vehicle 200 has parked, the estimating unit 107 stores information (coordinate information) about the parking position of the vehicle 200, movement history information of the vehicle 200 up to the parking position, and storage unit 107. Based on the map information D2 stored in 109, the destinations visited by the occupants of the vehicle 200 are estimated. First, the estimating unit 107 extracts candidates for visits by the occupant based on the information on the parking position and the map information D2. For example, the estimating unit 107 extracts facilities included within a predetermined distance from the parking position indicated by the parking position information as candidates for visiting destinations. Next, based on the movement history information of the vehicle 200, the estimating unit 107 estimates one visited destination that is assumed to have been most likely visited by the occupant from the extracted candidate visited destinations. Details of the estimation processing by the estimation unit 107 will be described later.

The estimation unit 107 causes the storage unit 109 to store passenger information D3 indicating the estimated visiting destination of the passenger. FIG. 3 is a diagram showing an example of the occupant information D3. As shown in FIG. 3, the passenger information D3 includes information in which the visited destination, the date and time of the visit, and the vehicle position are associated with each passenger identification ID. The movement history information D1 may include information such as the number of visits to each destination and the length of stay at the destination.

The acquiring unit 101, the managing unit 103, the determining unit 105, and the estimating unit 107 execute a program (software) stored in the storage unit 109 by a hardware processor such as a CPU (Central Processing Unit) (computer). It is realized by Some or all of these functional units are hardware (circuits) such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit) (including circuitry), or by cooperation of software and hardware. The program may be stored in advance in a storage device (a storage device with a non-transitory storage medium) such as a HDD (Hard Disk Drive) or flash memory, or may be stored in a removable storage such as a DVD or CD-ROM. It may be stored in a medium (non-transitory storage medium) and installed by loading the storage medium into a drive device.

The storage unit 109 stores, for example, movement history information D1, map information D2, and passenger information D3. The storage unit 109 is implemented by a HDD (Hard Disk Drive), flash memory, RAM (Random Access Memory), ROM (Read Only Memory), or the like.

[vehicle]
A vehicle 200 included in the vehicle system 1 is, for example, a two-wheeled, three-wheeled, or four-wheeled vehicle. Vehicle 200 includes, as its drive source, an internal combustion engine such as a diesel engine or a gasoline engine, an electric motor, or a combination thereof. The electric motor operates using electric power generated by a generator connected to the internal combustion engine, or electric power discharged from a secondary battery or a fuel cell.

Vehicle 200 includes a positioning device that measures the position of the vehicle. The positioning device is, for example, a GNSS (Global Navigation Satellite System) receiver. The GNSS receiver measures its own position (the position of the vehicle 200) based on radio waves arriving from GNSS satellites (eg, GPS satellites). The position of the aircraft is represented by longitude and latitude, for example. Vehicle 200 continuously transmits probe data including information (longitude, latitude) indicating the measured vehicle position to estimating apparatus 100 via network NW at predetermined intervals.

[Processing flow of estimation device]
A series of processes performed by the estimation device 100 according to the embodiment will be described below. FIG. 4 is a flowchart illustrating an example of the processing flow of the estimating device.

First, the acquiring unit 101 of the estimating device 100 acquires probe data continuously transmitted at predetermined intervals by the vehicle 200 via the network NW (step S101).

Next, the management unit 103 stores, in the storage unit 109, movement history information D1 in which the position information of the vehicle included in the probe data acquired by the acquisition unit 101, the measurement date and time of the position information, and the passenger identification ID are associated with each other. (step S103).

Next, the determination unit 105 determines whether or not the vehicle 200 has parked based on the movement history information D1 stored in the storage unit 109 (step S105). The determination unit 105 determines parking of the vehicle 200 by the method as described above. For example, if the position of the vehicle 200 indicated by the vehicle position in the movement history information D1 has not changed for a predetermined time (for example, 10 minutes), that is, if the vehicle 200 has been stopped for a predetermined time, It is determined that the vehicle 200 has parked. When the determination unit 105 determines that the vehicle 200 is not parked, the processing after the probe data acquisition processing (step S101) by the acquisition unit 101 is repeatedly performed.

On the other hand, when the determining unit 105 determines that the vehicle 200 is parked, the estimating unit 107 calculates the parking position of the vehicle 200 based on the vehicle position included in the movement history information D1 stored in the storage unit 109. is detected (step S107). For example, the estimating unit 107 detects, as the parking position, the vehicle position determined by the determining unit 105 to have no change over a predetermined period of time.

FIG. 5 is a diagram showing an example of a parking position detected based on the vehicle position included in movement history information D1. The parking position detected based on the vehicle position included in the movement history information D1 is based on the positioning result by GPS, and thus may have an error. Therefore, as shown in FIG. 5, even if the vehicle 200 is actually parked at the position Q1 in the parking lot P1 of the first facility F1 or the position Q2 in the parking lot P2 of the second facility F2, , the parking position may be detected as the parking position R on the road due to the above error. That is, there may be a deviation between the detected parking position R and the actual parking position Q1 or Q2. When the facility to be visited is estimated based on such a parking position R, a facility different from the actual one may be estimated as the visited facility. Therefore, the estimation device 100 of the present embodiment estimates the destination visited by the occupant based on the movement history information of the vehicle in addition to the information of the parking position of the vehicle 200 as follows.

The estimating unit 107 extracts a visit destination candidate based on the detected parking position and the map information D2 stored in the storage unit 109 (step S109). For example, in the example shown in FIG. 5, the estimating unit 107 identifies facilities (first facility F1, second facility F2) included within a predetermined distance from the detected parking position R as candidates for visiting destinations. Extract as

Next, the estimation unit 107 determines the travel route of the vehicle 200 based on the position information included in the travel history information D1 (step S111). For example, the estimating unit 107 extracts the vehicle positions arranged in time series (changes in the vehicle position over time) included in the movement history information D1, thereby determining the movement route that the vehicle 200 passed until reaching the parking position. do. FIG. 6 is a diagram showing an example of a travel route determined based on the vehicle position included in the travel history information D1. FIG. 6 shows an example in which the vehicle 200 reaches the parking position R via the moving route S1 passing through the entrance G1 of the first facility and the parking lot P1.

Next, the estimating unit 107 estimates the visiting destination based on the detected parking position and the moving route passed up to the parking position (step S113). For example, the estimating unit 107 estimates the visited destination by comparing the moving route with the area associated with the extracted candidate visited destination. In the example shown in FIG. 6, the movement path S1 of the vehicle 200 has passed through the area (for example, the parking lot P1) associated with the first facility F1. In this case, the estimation unit 107 estimates the first facility F1 as the visited destination among the first facility F1 and the second facility F2 that are candidates for the visited destination. When the movement history information D1 indicates that the vehicle 200 has entered an area associated with a certain visited destination, the estimating unit 107 estimates that the visited destination is visited by the occupant of the vehicle 200 .

Instead of or in addition to the estimation based on the areas associated with the candidate visiting destinations, the estimating unit 107 compares the moving route with the position information of the entrance of the extracted candidate visiting destination facility. , to estimate the destination. In the example shown in FIG. 6, the moving route S1 of the vehicle 200 has passed through the entrance G1 of the first facility. In this case, the estimation unit 107 estimates the first facility F1 as the visited destination among the first facility F1 and the second facility F2 that are candidates for the visited destination.

That is, the estimating unit 107 estimates the visited destination of the occupant of the vehicle 200 from the adjacent first visited destination and the second visited destination, and the estimating unit 107 determines whether the vehicle 200 determines the entrance of the first visited destination based on the movement history information. If it is indicated to have passed, then the first visit is presumed to be the visit of the occupant of vehicle 200 .

Note that in FIG. 6, when the vehicle 200 has reached the parking position R via the movement route S2 passing through the entrance G2 and the parking lot P2 of the second facility, the estimation unit 107 is a candidate for the visiting destination. Of the first facility F1 and the second facility F2, the second facility F2 is assumed to be the visiting destination.

FIG. 7 is a diagram showing another example of the travel route determined based on the vehicle position included in the travel history information D1. FIG. 7 shows an example in which a first facility F1 and a second facility F2 are located in the same section and share a parking lot. In this case, the estimating unit 107 extracts candidates for visiting destinations based on the detected parking position R and the map information D<b>2 stored in the storage unit 109 . For example, in the example shown in FIG. 7, the estimating unit 107 identifies facilities (first facility F1, second facility F2) included within a predetermined distance from the detected parking position R as candidates for visiting destinations. Extract as Note that the estimating unit 107 determines that even if the third facility F3 located in another section across the road T is within a predetermined distance from the parking position R, It may not be extracted as a candidate.

Next, the estimating unit 107 estimates the visited destination by comparing the moving route with the area associated with the extracted candidate visited destination. In the example shown in FIG. 7, the moving route S of the vehicle 200 has passed through the area (for example, area A1) associated with the first facility F1. In this case, the estimation unit 107 estimates the first facility F1 as the visited destination among the first facility F1 and the second facility F2 that are candidates for the visited destination.

In the example shown in FIG. 7, this section is provided with an entrance G1 closer to the first facility F1 than the second facility F2 and an entrance G2 closer to the second facility F2 than the first facility F1. there is In this example, the moving route S of the vehicle 200 has passed through the entrance G1 closer to the first facility F1 than to the second facility F2. In this case, the estimation unit 107 estimates the first facility F1 as the visited destination among the first facility F1 and the second facility F2 that are candidates for the visited destination.

Even when vehicle 200 passes through entrance G1 and is parked in area A2 associated with second facility F2 (when parking position R is included in area A2), estimating unit 107 , the first facility F1 may be estimated as the visiting destination. That is, the estimating unit 107 determines that the movement history information indicates that the vehicle 200 has passed through the entrance of the first visited destination and that the stop position of the vehicle 200 indicated by the coordinate information is associated with the second visited destination. If the first visit is contained within the region, it may be inferred that the first visit is the visit of the vehicle occupant.

FIG. 8 is a diagram showing another example of the travel route determined based on the vehicle position included in the travel history information D1. In the example shown in FIG. 8, the vehicle 200 does not use the entrance G1 closer to the first facility F1 than the second facility F2 (by passing through the entrance G1), and moves toward the second facility F2 rather than the first facility F1. Use the nearby entrance G2. In other words, the occupant of the vehicle 200 intentionally uses the entrance G2 instead of using the entrance G1 even though he or she had the option of passing through the entrance G1. In this case, the estimation unit 107 estimates the second facility F2 as the visited destination among the first facility F1 and the second facility F2 that are candidates for the visited destination.

Note that the estimation unit 107 determines that the vehicle 200 passes in front of the entrance G1, passes through the entrance G2, enters the area A2 associated with the second facility F2, and parks in the area A1 associated with the first facility F1. Even if the second facility F2 is visited, the second facility F2 may be presumed to be the visit destination. That is, the estimation unit 107 indicates from the movement history information that the vehicle 200 passed in front of the entrance of the second visit destination, passed through the entrance of the first visit destination, and entered the area associated with the first visit destination. and the stop position of the vehicle 200 indicated by the coordinate information is included in the area associated with the second visit destination, it is estimated that the first visit destination is the passenger's visit destination.

FIG. 9 is a diagram showing another example of the travel route determined based on the vehicle position included in the travel history information D1. FIG. 9 shows an example in which the first facility F1 and the second facility F2 are located in the same section, and the parking lot is shared (the parking lot is not separated) on the map or map data. ing. However, the parking lot where the vehicle 200 is actually parked is provided with a fence U that separates the site of the first facility F1 from the site of the second facility F2. In such a case, as described above, the estimating unit 107 compares the moving route with the location information of the entrance of each facility and/or the area associated with each facility to estimate the visited destination (in this case, the By using one facility F1), it is possible to improve the accuracy of estimation compared to estimating the visited destination only from the map information.

The estimating unit 107 estimates the visited destination of the occupant of the vehicle 200 from the adjacent first visited destination and the second visited destination, and the estimating unit 107 associates the vehicle 200 with the first visited destination based on the movement history information. and the stop position of the vehicle 200 indicated by the coordinate information is included in the area associated with the second visit destination, the vehicle occupant's visit destination is the first visit destination. You can presume that it is the place you visited.

In addition, the estimating unit 107 indicates that the movement history information indicates that the vehicle 200 moved to the area associated with the first visiting destination after passing in front of the entrance of the second visiting destination, and the coordinate information indicates If the stop position of vehicle 200 is included in the region associated with the second visit, it may be inferred that the first visit is the visit of the occupant of vehicle 200 .

It should be noted that, like the parking position, the movement route as described above is also calculated based on the GPS positioning results, and thus there is concern about errors. However, since the movement route is calculated based on a plurality of positioning results, it is less likely to be affected by errors. Therefore, the route of travel can be treated as not significantly different from the actual route of travel of vehicle 200 .

Next, the estimation unit 107 causes the storage unit 109 to store the occupant information D3 indicating the estimated visiting destination (step S115). After that, the process after the probe data acquisition process (step S101) by the acquisition unit 101 is repeatedly performed.

The occupant information D3 estimated by the estimating unit 107 and stored in the storage unit 109 as described above can be utilized when providing services such as various recommendations according to the preferences of the occupant. For example, as shown in FIG. 10, the estimation device 100A may further include an information provider 111. In the example of FIG. The information providing unit 111 can provide the passenger with information according to the passenger's preference based on the history information of the visited destination included in the passenger information D3 stored in the storage unit 109 . For example, when history information of visited destinations of a passenger includes restaurants of a specific genre, the estimating device 100A transmits information about restaurants of this genre to a terminal device (such as a smartphone) owned by the passenger. Send.

According to the embodiment described above, it is possible to improve the accuracy of estimating the destination visited by the vehicle occupant. Even if the accuracy of the acquired position information of the vehicle is poor and, for example, it is determined that the vehicle is parked on the road, the parking place is estimated based on whether or not the vehicle passes through a specific area or point, It is possible to accurately estimate the destination visited by the crew. Also, even if there are adjacent visited destinations, it is possible to accurately estimate which visited destination the vehicle occupant has visited.

Furthermore, according to the present embodiment, it is possible to correct the position information regarding the parking position of the vehicle 200 only with the information based on the positioning result by GPS or the like. Therefore, the amount of data to be processed can be reduced. In particular, the amount of information transmitted from the vehicle 200 to the estimating device 100 can be reduced to reduce the communication capacity, and the processing amount (data processing load) in the estimating device 100 can be reduced.

In addition, when it is not possible to estimate the visit destination among the candidates for the visit destination, such as when small-scale facilities are located close to each other, selection by the crew member may be accepted. For example, a selection screen may be displayed on a terminal device (smartphone) or the like owned by the passenger, and input by the passenger may be accepted.

In the above-described embodiment, the configuration for estimating the visited destination based on the movement route to the parking position (the movement route before parking) has been described. However, instead of or in addition to this, the visited destination may be estimated based on the movement route after parking.

[Hardware configuration]
FIG. 11 is a diagram illustrating an example of the hardware configuration of the estimation device 100 of the embodiment. As shown in FIG. 11, the estimating apparatus 100 includes a communication controller 100-1, a CPU 100-2 (computer), a RAM 100-3 used as a working memory, a ROM 100-4 storing a boot program and the like, a flash memory, an HDD, and the like. A storage device 100-5, a drive device 100-6, etc. are connected to each other by an internal bus or a dedicated communication line. Communication controller 100-1 communicates with components other than estimating apparatus 100. FIG. The storage device 100-5 stores a program 100-5a executed by the CPU 100-2. This program is developed in RAM 100-3 by a DMA (Direct Memory Access) controller (not shown) or the like and executed by CPU 100-2. This implements part or all of acquisition unit 101, management unit 103, determination unit 105, and estimation unit 107. FIG.

The embodiment described above can be expressed as follows.
a storage for storing programs;
a processor;
By executing the program, the processor
Sequentially acquire vehicle information including vehicle coordinate information,
determining whether the vehicle has stopped for a predetermined time based on the acquired vehicle information;
When it is determined that the vehicle has stopped for a predetermined period of time, a destination visited by the occupant of the vehicle is estimated based on the coordinate information at the time the vehicle stopped and the movement history information of the vehicle indicated by the vehicle information. do,
estimation device.

As described above, the mode for carrying out the present invention has been described using the embodiments, but the present invention is not limited to such embodiments at all, and various modifications and replacements can be made without departing from the scope of the present invention. can be added.

DESCRIPTION OF SYMBOLS 1, 2... Vehicle system 100, 100A... Estimation apparatus 101... Acquisition part 103... Management part 105... Judgment part 107... Estimation part 109... Storage part 111... Information provision part 200... Vehicle

Claims (9)

an acquisition unit that sequentially acquires vehicle information including coordinate information of the vehicle;
a determination unit that determines whether the vehicle has stopped for a predetermined time based on the vehicle information acquired by the acquisition unit;
When the determination unit determines that the vehicle has stopped for a predetermined period of time, based on the coordinate information at the time the vehicle stopped and the movement history information of the vehicle indicated by the vehicle information, the occupant's position of the vehicle is determined. an estimation unit for estimating a visited destination;
with
The estimating unit estimates a visited destination of the vehicle occupant from adjacent first visited destinations and second visited destinations,
The estimating unit determines that the movement history information indicates that the vehicle passed through the entrance of the first visiting destination, and that the stop position of the vehicle indicated by the coordinate information is the second visiting destination. inferring that the first visit is a visit of an occupant of the vehicle if it is contained within an associated region;
estimation device. When the movement history information indicates that the vehicle has entered an area associated with a visiting destination, the estimating unit estimates that the visiting destination is visited by the occupant of the vehicle.
The estimating device according to claim 1. the movement history information includes a plurality of pieces of coordinate information;
The estimation device according to claim 1 or 2. an acquisition unit that sequentially acquires vehicle information including coordinate information of the vehicle;
a determination unit that determines whether the vehicle has stopped for a predetermined time based on the vehicle information acquired by the acquisition unit;
When the determination unit determines that the vehicle has stopped for a predetermined period of time, based on the coordinate information at the time the vehicle stopped and the movement history information of the vehicle indicated by the vehicle information, the occupant's position of the vehicle is determined. an estimation unit for estimating a visited destination;
with
The estimating unit estimates a visited destination of the vehicle occupant from adjacent first visited destinations and second visited destinations,
the estimating unit, when the movement history information indicates that the vehicle has passed through an entrance of the first visiting destination, estimating that the first visiting destination is a destination visited by an occupant of the vehicle;
The estimating unit determines, based on the movement history information, that the vehicle has passed through the entrance of the first visiting destination after passing in front of the entrance of the second visiting destination and entered an area associated with the first visiting destination. and the stop position of the vehicle indicated by the coordinate information is included in the region associated with the second visit, the first visit is the occupant's visit. presume that
estimation device . an acquisition unit that sequentially acquires vehicle information including coordinate information of the vehicle;
a determination unit that determines whether the vehicle has stopped for a predetermined time based on the vehicle information acquired by the acquisition unit;
When the determination unit determines that the vehicle has stopped for a predetermined period of time, based on the coordinate information at the time the vehicle stopped and the movement history information of the vehicle indicated by the vehicle information, the occupant's position of the vehicle is determined. an estimation unit for estimating a visited destination;
with
The estimating unit estimates a visited destination of the vehicle occupant from adjacent first visited destinations and second visited destinations,
The estimating unit determines that the movement history information indicates that the vehicle has entered an area associated with the first visited destination, and that the stop position of the vehicle indicated by the coordinate information is the second location. presuming that the vehicle occupant visit is the first visit if it is contained in a region associated with the visit;
estimation device . The estimating unit indicates that the movement history information indicates that the vehicle moved to the area associated with the first visiting destination after passing in front of the entrance of the second visiting destination, and the coordinate information indicates inferring that the first itinerary is that of an occupant of the vehicle if the indicated stop position of the vehicle falls within a region associated with the second itinerary;
The estimation device according to claim 5 . The estimating unit causes a storage device to store occupant information including the estimated visited place of the occupant of the vehicle,
Further comprising an information providing unit that provides information to the occupant based on the occupant information stored in the storage device,
The estimating device according to any one of claims 1 to 6 . the computer
Sequentially acquire vehicle information including vehicle coordinate information,
determining whether the vehicle has stopped for a predetermined time based on the acquired vehicle information;
When it is determined that the vehicle has stopped for a predetermined period of time, a destination visited by the occupant of the vehicle is estimated based on the coordinate information at the time the vehicle stopped and the movement history information of the vehicle indicated by the vehicle information. do,
An estimation method comprising :
estimating a visit destination of the vehicle occupant from the adjacent first visit destination and second visit destination;
The movement history information indicates that the vehicle passed through the entrance of the first visiting destination, and the stop position of the vehicle indicated by the coordinate information is within the area associated with the second visiting destination. infer that the first visit is an occupant visit of the vehicle, if included in
estimation method . to the computer,
Sequentially acquire vehicle information including coordinate information of the vehicle,
determining whether or not the vehicle has stopped for a predetermined time based on the acquired vehicle information; estimating a visit destination of the occupant of the vehicle based on the movement history information of the vehicle indicated by the vehicle information;
a program,
estimating a visit destination of the occupant of the vehicle from the adjacent first visit destination and second visit destination;
The movement history information indicates that the vehicle passed through the entrance of the first visiting destination, and the stop position of the vehicle indicated by the coordinate information is within the area associated with the second visiting destination. infers that the first visit is the visit of an occupant of the vehicle, if included in
program .

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